Technical Program Manager, Evaluation & Validation

Bias for action: 8+ years leading complex, multi-team programs (or a strong record at this level). You lead high-complexity work across teams and get things done.

Technically strong: Credible with engineers and scientists across simulation, evaluation, ML, and validation; you reason about how data, simulator fidelity, and metric design propagate into release confidence, even though you won't write production code.

Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments; you flex your style and bring structure without slowing delivery.

Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.

Clear communicator & collaborator: You influence without authority across Autonomy, Science, Release, Product, and Safety.

Data-driven: Comfortable defining and using metrics - signal quality, coverage, time-to-insight - to steer delivery and decisions.

Growth mindset: Open to feedback and always looking to improve.

Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.

Product-minded: You focus on outcomes and the people your programs serve - prioritizing by impact and defining what good looks like, not just tracking activity.

Experience in autonomous vehicles, robotics, or another safety-critical AI/ML program.

Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tooling at production scale.

Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems.

An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $214,900 to $274,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.